Make a key paragraph easier to cite
Rewrite one passage so its main claim is clearer, more self-contained, and easier to extract accurately.
Quotability & Entity-Preserving Rewriter
Free, no signup. Tighten one paragraph for clearer quotation, or require declared entities and keywords to survive the edit. Pasted text is treated as data, never instructions.
Generation boundary: The rewrite is an editable model-API output, not an observed consumer-product answer. This observation describes the named consumer product at the recorded query time. A model API with search is an execution surface, not a proxy for the provider’s consumer product. Results can correlate, but they are not interchangeable. The rewrite and before/after heuristic are informational, not staged recommendations. AI answers may continue to reflect cached or previously retrieved material for days to weeks after a fix. Recheck over time before treating an unchanged answer as proof that the fix failed.
Pasted content is analyzed in your browser. A URL is sent only to the protected fetch endpoint; paste content takes priority. After a successful URL check, only its domain is remembered locally.
Sample report: rewrite Editorial illustration — not a live model claim
Before: When it comes to canonical tags, they are something that in many situations can be used by a website in order to indicate which URL is preferred.
Possible edit: A canonical tag identifies the preferred URL among duplicate or near-duplicate pages.
Required terms: canonical tag, preferred URL · Preservation: passed
The example demonstrates the requested shape only. A live result is generated on demand and can differ; its local before/after assessment is calculated from the actual output.
How to use it
- Choose More citable to prioritize direct, self-contained prose, or Preserve entities & keywords for a constrained edit.
- In preservation mode, enter every required phrase separated by commas.
- Paste one paragraph and select Rewrite.
- Compare the output with the source, check the preservation warning, and verify that no meaning or fact changed before publishing.
Site passport Local context for this saved site
Local data
Saved targets, named lists, and recent check summaries remain only in this browser.
Word-level changes
Your input is sent to the AI model to generate a result — it is not stored afterward. Anonymous run-level outcome counters may be used for aggregate research; URLs, domains, IPs, and identifiers are never included, and no statistic is released below 100 runs.
Rate this tool
What you get
- Quotability before → after — a local sentence-level clarity heuristic, not a citation probability.
- Required terms preserved — every declared phrase was found in the output, case-insensitively.
- Review dropped — at least one required phrase is absent; do not use the rewrite without correction.
- AI rewrite unavailable — no output was returned, so there is nothing to assess.
How it works
The page sends the paragraph, mode, and required-term list to the bounded writing endpoint. The prompt marks source text as untrusted data and forbids added facts, instruction-following, and entity changes. After a response returns, the browser scores the source and output with the same quotability heuristic and runs a literal, case-insensitive preservation check for constrained mode.
Features
- Two focused rewrite modes rather than a general paraphraser.
- Explicit prompt-injection boundary around pasted text.
- Local before/after quotability assessment.
- Visible required-term drop detection.
- No invented fallback output when generation is unavailable.
Limitations
A language model can alter nuance, introduce an error, or satisfy a literal keyword check while changing what the sentence means. The score does not observe search results, citations, retrieval, or reader comprehension. Exact preservation is not entity resolution, and this tool does not fact-check, source, or publish the result. Treat every output as an editable draft.
Frequently asked questions
What makes a sentence quotable?
The local assessment favors direct, self-contained sentences with specific language and manageable length. That can improve clarity, but it cannot predict whether an answer engineAnswer Engine Optimization (AEO) is the practice of structuring content so engines deliver it as a direct answer — featured snippets, voice assistants, and AI search — rather than just a ranked link. Coined for voice search in 2018 and revived for the LLM era. Google's position is that it's still SEO. will quote the passage.
What does entity-preserving mode guarantee?
After generation, the checker verifies that every comma-separated required term still appears in the output, case-insensitively. It flags dropped terms for review; it does not silently claim success.
Will the rewriter add facts or citations?
It is instructed not to add facts. Generated text can still be wrong, so compare it with the source and verify every assertion. The tool does not research or attach sources.
Can pasted text give instructions to the model?
The server prompt wraps pasted content as untrusted data and tells the model not to follow instructions inside it. This reduces prompt-injection risk but is not a reason to paste secrets.
Why might a rewrite score lower?
A rewrite can become longer, vaguer, or less self-contained. The before/after number is a local heuristic, so keep the version that is more accurate and useful even when the numeric change is small.
Feature requests for Quotability Rewriter
Upvote what you want most. New ideas can be submitted from the floating Feedback menu; requests appear here once approved, and the most-wanted rise to the top.
You won't be emailed about that request anymore.
Loading…
➕ Request a feature
New requests are reviewed before they appear here.
Where this tool helps
Common use cases
Preserve important entities
Declare names or keywords that must survive the rewrite and review the word-level changes before use.
Tighten expert explanations
Improve the structure of a definition or evidence-backed answer without turning the tool into a general paraphraser.
Prepare copy for human review
Export the candidate rewrite, then verify tone, facts, attribution, and meaning before publishing.
Watch the full workflow
Quotability & Entity-Preserving Rewriter walkthrough
Read the transcript
Quotability & Entity-Preserving Rewriter
This focused editor helps make one paragraph more direct and self-contained, or preserve named entities and keywords during a rewrite. I’ll show both modes, safe input, a clearly fictional example result, the local assessment and word-level review, export options, limitations, and the checks to complete before publishing.
Step 1
Use this tool when a paragraph is accurate but indirect, overloaded, or difficult to quote on its own. It produces an editable model-A-P-I draft, not an observed answer-engine result or a recommendation to publish.
Step 2
Paste one paragraph, not an entire article. Source text is wrapped as untrusted data so instructions inside it should not control the model, but never paste secrets or sensitive material.
Step 3
More citable prioritizes direct, self-contained prose. Preserve entities and keywords adds a literal case-insensitive check for every comma-separated required phrase, which is useful for product names, people, places, or technical terminology.
Step 4
Here I choose entity-preserving mode, declare two required phrases, and add a short fictional source paragraph. A real run requires the visible Rewrite action and anti-abuse check; this capture does not call the model endpoint.
Step 5
This clearly labeled fictional result shows the expected output shape. The before-and-after number is a local clarity heuristic applied to both texts. A higher score is not evidence of citation, retrieval, ranking, or reader comprehension.
Step 6
Required terms preserved means each declared phrase appears literally in the draft. Review dropped means at least one is absent. That check is not entity resolution and cannot prove the meaning stayed the same.
Step 7
The word-level review highlights removed and added language. Read the whole sentence, not just the colored tokens, and look for altered scope, lost caveats, new certainty, or a relationship that the source never claimed.
Step 8
Copy the rewrite or export Markdown only after the comparison is complete. The output remains an editable draft; these actions do not fact-check it, attach sources, or publish anything.
Step 10
The paragraph, selected mode, and required-term list go to a bounded writing endpoint for generation. Local code calculates the assessment and preservation check. Do not submit confidential, personal, or regulated text.
Step 11
A model can change nuance, introduce an error, or pass the literal term check while changing meaning. The tool does not research, cite, fact-check, observe search results, or predict whether any system will quote the passage.
Step 12
Compare the draft line by line with the source, restore necessary context, confirm every required entity, and verify every fact against authoritative evidence. Publish only after a human decides the rewrite is accurate, useful, and appropriate.
Treat the rewrite as a draft—not a verified fact.
Choose the mode that matches your editing goal, declare every phrase that must survive, and compare the result against the source. Keep the clearest accurate version, verify every assertion and citation independently, and remember that the heuristic cannot predict quotation, retrieval, rankings, or answer-engine visibility.
Common issues & how to fix them
- Warning Original sentence has an implicit subject Fix: Name the person, company, product, or concept performing the action so the sentence remains clear when quoted alone.
- Warning Original sentence is indirect Fix: Put the supported claim in a direct subject–verb statement, removing throat-clearing language without strengthening its certainty.
- Warning Original sentence depends on surrounding context Fix: Replace pronouns and vague references with the named subject and enough scope, date, or comparison context for the sentence to stand alone.
- Error Rewrite drops a required entity Fix: Restore every required named entity exactly where it remains factually relevant, then compare the rewrite with the source.
- Error Rewrite drops a required term Fix: Restore the required term without changing its meaning or stuffing it into an unrelated clause, then rerun preservation checking.
- Error Rewrite loses a factual qualification Fix: Restore limiting words such as “may,” the population, timeframe, or conditions so the rewritten claim is no broader than the source.